As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
As AI automates the work that once trained junior lawyers, firms must rethink how capability is built. New simulation-led and ...
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